Literature DB >> 22997436

Comment on: Schuit et al. β-Cell-specific gene repression: a mechanism to protect against inappropriate or maladjusted insulin secretion? Diabetes 2012;61:969-975.

Guy A Rutter, Timothy J Pullen.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22997436      PMCID: PMC3447909          DOI: 10.2337/db12-0775

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


× No keyword cloud information.
We write in connection to the recent review article by Schuit et al. (1) on gene repression in the β-cell. Although most review articles display a natural (and forgivable) bias toward the authors’ own contributions and point of view, we feel that this article goes well beyond the norm. Firstly, the section entitled “How islet-specifically repressed genes were identified” is largely restricted to the authors’ own work. This significantly distorts the true historical narrative. It fails to mention, in particular, that the founder members (LDHA and MCT1/SLC16A1) of what were later dubbed the “disallowed” group were, in fact, first identified in a systematic comparison of the metabolic enzymology of fluorescence-activated cell sorting–purified β-cells versus a range of insulinoma cells and a limited number of primary mouse tissues (notably liver and islet non–β-cells) in a collaboration between G.A.R. and Claes Wollheim reported in 1994 (2). A further article by Matschinksy and colleagues (3), which also demonstrated low levels of lactate dehydrogenase in a relatively well-differentiated β-cell line, also goes uncited, as well as a much earlier paper by Hellman et al. (4) suggesting lactate dehydrogenase activity may be unusually low in the islet. An additional, and greater concern, is that the review by Schuit et al. (1) fails to cite the first bioinformatics analysis to provide a list of “disallowed” genes in the β-cell (5), referring instead only to the later article from the authors’ own group (6). Similarities and differences between the gene lists generated by these two articles are therefore not discussed. Strikingly, both analyses indicate that LDHA and MCT1 are probably the most strongly (selectively) repressed β-cell genes (5,6), further emphasizing the importance of our original findings (2).
  6 in total

1.  Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation.

Authors:  Lieven Thorrez; Ilaria Laudadio; Katrijn Van Deun; Roel Quintens; Nico Hendrickx; Mikaela Granvik; Katleen Lemaire; Anica Schraenen; Leentje Van Lommel; Stefan Lehnert; Cristina Aguayo-Mazzucato; Rui Cheng-Xue; Patrick Gilon; Iven Van Mechelen; Susan Bonner-Weir; Frédéric Lemaigre; Frans Schuit
Journal:  Genome Res       Date:  2010-11-18       Impact factor: 9.043

2.  Identification of genes selectively disallowed in the pancreatic islet.

Authors:  Timothy J Pullen; Arshad M Khan; Geraint Barton; Sarah A Butcher; Gao Sun; Guy A Rutter
Journal:  Islets       Date:  2010 Mar-Apr       Impact factor: 2.694

3.  Glucose metabolism and insulin release in mouse beta HC9 cells, as model for wild-type pancreatic beta-cells.

Authors:  Y Liang; G Bai; N Doliba; C Buettger; L Wang; D K Berner; F M Matschinsky
Journal:  Am J Physiol       Date:  1996-05

4.  Influence of anoxia on glucose metabolism in pancreatic islets: lack of correlation between fructose-1,6-diphosphate and apparent glycolytic flux.

Authors:  B Hellman; L A Idahl; J Sehlin; I B Täljedal
Journal:  Diabetologia       Date:  1975-12       Impact factor: 10.122

5.  Low lactate dehydrogenase and high mitochondrial glycerol phosphate dehydrogenase in pancreatic beta-cells. Potential role in nutrient sensing.

Authors:  N Sekine; V Cirulli; R Regazzi; L J Brown; E Gine; J Tamarit-Rodriguez; M Girotti; S Marie; M J MacDonald; C B Wollheim
Journal:  J Biol Chem       Date:  1994-02-18       Impact factor: 5.157

6.  β-cell-specific gene repression: a mechanism to protect against inappropriate or maladjusted insulin secretion?

Authors:  Frans Schuit; Leentje Van Lommel; Mikaela Granvik; Lotte Goyvaerts; Geoffroy de Faudeur; Anica Schraenen; Katleen Lemaire
Journal:  Diabetes       Date:  2012-05       Impact factor: 9.461

  6 in total
  1 in total

1.  Analysis of Half a Billion Datapoints Across Ten Machine-Learning Algorithms Identifies Key Elements Associated With Insulin Transcription in Human Pancreatic Islet Cells.

Authors:  Wilson K M Wong; Vinod Thorat; Mugdha V Joglekar; Charlotte X Dong; Hugo Lee; Yi Vee Chew; Adwait Bhave; Wayne J Hawthorne; Feyza Engin; Aniruddha Pant; Louise T Dalgaard; Sharda Bapat; Anandwardhan A Hardikar
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-23       Impact factor: 6.055

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.